436 search results - page 77 / 88 » Automatic Subspace Clustering of High Dimensional Data for D... |
ICDCS
2012
IEEE
11 years 10 months ago
2012
IEEE
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
BMCBI
2005
13 years 7 months ago
2005
Background -: Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to in...
SIGMOD
2010
ACM
14 years 13 days ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
KAIS
2008
13 years 7 months ago
2008
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
SIGMOD
2002
ACM
14 years 7 months ago
2002
ACM
Dwarf is a highly compressed structure for computing, storing, and querying data cubes. Dwarf identifies prefix and suffix structural redundancies and factors them out by coalesci...